Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons
K. Eguchi, E. Le Monnier, R. Shigemoto, The Journal of Neuroscience 43 (2023) 4197–4216.

Uniform bounds for rational points on hyperelliptic fibrations
D. Bonolis, T.D. Browning, Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze 24 (2023) 173–204.

Synapseek: Meta-learning synaptic plasticity rules
B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.

Boundary superconductivity in BCS theory
B. Roos, Boundary Superconductivity in BCS Theory, Institute of Science and Technology Austria, 2023.

Boundary superconductivity in the BCS model
C. Hainzl, B. Roos, R. Seiringer, Journal of Spectral Theory 12 (2023) 1507–1540.

The infinitesimal model with dominance
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Quantized distributed training of large models with convergence guarantees
I. Markov, A. Vladu, Q. Guo, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 24020–24044.

Constant matters: Fine-grained error bound on differentially private continual observation
H. Fichtenberger, M.H. Henzinger, J. Upadhyay, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10072–10092.

Fundamental limits of two-layer autoencoders, and achieving them with gradient methods
A. Shevchenko, K. Kögler, H. Hassani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 31151–31209.

SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge
M. Nikdan, T. Pegolotti, E.B. Iofinova, E. Kurtic, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 26215–26227.

Stronger lower bounds for leakage-resilient secret sharing
C. Hoffmann, M. Simkin, in:, 8th International Conference on Cryptology and Information Security in Latin America, Springer Nature, 2023, pp. 215–228.

SparseGPT: Massive language models can be accurately pruned in one-shot
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Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading
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M.A. Kwan, A. Sah, M. Sawhney, M. Simkin, Israel Journal of Mathematics 256 (2023) 363–416.

Monitoring algorithmic fairness under partial observations
T.A. Henzinger, K. Kueffner, K. Mallik, in:, 23rd International Conference on Runtime Verification, Springer Nature, 2023, pp. 291–311.

Against the flow of time with multi-output models
J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.

Addressing global environmental challenges to mental health using population neuroscience: A review
G. Schumann, O.A. Andreassen, T. Banaschewski, V.D. Calhoun, N. Clinton, S. Desrivieres, R.E. Brandlistuen, J. Feng, S. Hese, E. Hitchen, P. Hoffmann, T. Jia, V. Jirsa, A.F. Marquand, F. Nees, M.M. Nöthen, G. Novarino, E. Polemiti, M. Ralser, M. Rapp, K. Schepanski, T. Schikowski, M. Slater, P. Sommer, B.C. Stahl, P.M. Thompson, S. Twardziok, D. Van Der Meer, H. Walter, L. Westlye, JAMA Psychiatry 80 (2023) 1066–1074.

The Fröhlich Polaron at strong coupling: Part I - The quantum correction to the classical energy
M. Brooks, R. Seiringer, Communications in Mathematical Physics 404 (2023) 287–337.